in MS SQL
I have following table
I would like to convert it to :
I had a look at pivot table function, but could not get it work correctly.
Any advice?
You coud try this:
With data (STOCKCODE, QTY, AGE) as (
select 'AIRFIL01', 3,1 union all
select 'AIRFIL01', 8,2 union all
select 'AIRFIL05', 4,1 union all
select 'AIRFIL05', 14,2 union all
select 'AIRPRE01', 4,1 union all
select 'AIRPRE01', 24,2 union all
select 'AIRSUS01', 1,2 union all
select 'ALARM01', 1,1 union all
select 'ALARM01', 6,2 union all
select 'ALARM01', 7,10 union all
select 'ALARM05', 2,1 union all
select 'ANTROL01', 5,2
)
SELECT * from (
Select STOCKCODE, QTY, CONCAT('Age_' , AGE) comment from data
)t
PIVOT
(
SUM(QTY)
FOR comment IN ( [Age_1],[Age_2],[Age_3],[Age_4],[Age_5],[Age_6],[Age_7],[Age_8],[Age_9],[Age_10])
) p
Related
I have a table in BigQuery
SELECT 1 as big_id, 1 as temp_id, '101' as names
UNION ALL SELECT 1,1, 'z3Awwer',
UNION ALL SELECT 1,1, 'gA1sd03',
UNION ALL SELECT 1,2, 'z3Awwer',
UNION ALL SELECT 1,2, 'gA1sd03',
UNION ALL SELECT 1,3, 'gA1sd03',
UNION ALL SELECT 1,3, 'sAs10sdf4',
UNION ALL SELECT 1,4, 'sAs10sdf4',
UNION ALL SELECT 1,5, 'Adf105',
UNION ALL SELECT 2,1, 'A1sdf02',
UNION ALL SELECT 2,1, '345A103',
UNION ALL SELECT 2,2, '345A103',
UNION ALL SELECT 2,2, 'A1sd04',
UNION ALL SELECT 2,3, 'A1sd04',
UNION ALL SELECT 2,4, '6_0Awe105'
I want to filter it by temp_id if all names of one temp_id included in some another temp_id in partition by big_id window. For example I do not need to select all rows where temp_id = 2 because all names of temp_id = 2 included in temp_id = 1. As well as need to keep all rows of temp_id = 1 because this names range covers names range of temp_id = 2
So expected output:
SELECT 1 as big_id, 1 as temp_id, '101' as names
UNION ALL SELECT 1,1, 'z3Awwer',
UNION ALL SELECT 1,1, 'gA1sd03',
UNION ALL SELECT 1,3, 'gA1sd03',
UNION ALL SELECT 1,3, 'sAs10sdf4',
UNION ALL SELECT 1,5, 'Adf105',
UNION ALL SELECT 2,1, 'A1sdf02',
UNION ALL SELECT 2,1, '345A103',
UNION ALL SELECT 2,2, '345A103',
UNION ALL SELECT 2,2, 'A1sd04',
UNION ALL SELECT 2,4, '6_0Awe105'
How can I make it using BigQuery?
Below is for BigQuery Standard SQL
#standardsql
with temp as (
select big_id, temp_id, array_agg(names) names
from `project.dataset.table`
group by big_id, temp_id
)
select big_id, temp_id, names
from (
select big_id, temp_id, any_value(names) names
from (
select t1.*,
( select count(1)
from t1.names name
join t2.names name
using(name)
where t1.temp_id != t2.temp_id
) = array_length(t1.names) as flag
from temp t1
join temp t2
using (big_id)
)
group by big_id, temp_id
having countif(flag) = 0
), unnest(names) names
If to apply above to sample data from your question - the output is
We have DataTemp table which has the records in desc order.
select * from (
select 9,'a',3 union
select 8,'a',2 union
select 7,'b',3 union
select 6,'a',1 union
select 5,'b',2 union
select 4,'c',3 union
select 3,'c',2 union
select 2,'b',1 union
select 1,'c',1
) door (sno,id, N_th_Reocord)
sno - Auto Id.
id - code of the Doors*.
N_th_Record - for denoting the n the record.
At a time, only three* records per Door are need to store on this table. For example Door 'a' has new entry(means 4th record) then first of 'a' Door need to delete.
4th record:
select * from (
select 10,'a',4 union --- new entry
select 9,'a',3 union
select 8,'a',2 union
select 7,'b',3 union
select 6,'a',1 union -- need to delete
select 5,'b',2 union
select 4,'c',3 union
select 3,'c',2 union
select 2,'b',1 union
select 1,'c',1
) door (sno,id, N_th_Reocord)
I do following query. But I need easiest way for deleting the row. Because, we are try to reduce the time consumption of over all project.
delete from door where sno = (
select sno from (
select 10,'a',4 union
select 9,'a',3 union
select 8,'a',2 union
select 7,'b',3 union
select 6,'a',1 union
select 5,'b',2 union
select 4,'c',3 union
select 3,'c',2 union
select 2,'b',1 union
select 1,'c',1
) door (sno,id, N_th_Reocord)
where id = 'a'
order by sno desc -- For 'DataTemp' *order by* is no needed.
offset 3 rows fetch next 1 rows only
)
Note:
Three rows and three Door are given for example. Actually we work with 144 rows per 12 Doors.
Before this delete, we check lot of Business rules.
Version: SQL Server 2012
You could use ROW_NUMBER:
WITH cte AS (SELECT *,ROW_NUMBER() OVER(PARTITION BY id ORDER BY sno DESC) rn FROM t)
DELETE FROM cte WHERE rn > 3;
db<>fiddle demo
I need some help. I tried this and it does not work.
I selected all the data I needed and tried to say what's not in
the original file.
Could someone show me the correct way?
SELECT *
FROM acknowledgement t1
where t1.st01 = '110'
and (t1.shipment ='S640D14268424' or t1.Shipment ='S640D14268924' or
t1.Shipment ='S640D14268925' or t1.Shipment ='S646D14261190' or
t1.Shipment ='S646I14265886' or t1.Shipment ='S640D14268423' ...)
AND [shipment]
NOT IN(
SELECT [shipment] FROM acknowledgement
)
Any help would be useful.
You are looking for something like:
SELECT * FROM (
SELECT 'S640D14268424' AS Shipment
UNION SELECT 'S640D14268924'
UNION SELECT 'S640D14268925'
UNION SELECT 'S646D14261190'
UNION SELECT 'S646I14265886'
UNION SELECT 'S640D14268423'
UNION SELECT 'S646D14269951'
UNION SELECT 'S646D14269939'
UNION SELECT 'S646D14269034'
UNION SELECT 'S646D14269962'
UNION SELECT 'S646D14269953'
UNION SELECT 'S646D14271620'
UNION SELECT 'S646D14269030'
UNION SELECT 'S646D14269941'
UNION SELECT 'S646D14269251'
UNION SELECT 'S646D14273089'
UNION SELECT 'S646D14272388'
UNION SELECT 'S646D14273197'
UNION SELECT 'S646D14273399'
UNION SELECT 'S640D14273543'
UNION SELECT 'S640D14272952'
UNION SELECT 'S640D14272953'
UNION SELECT 'S640D14276996'
UNION SELECT 'S640D14277005'
UNION SELECT 'S640D14277006'
UNION SELECT 'S646D148047394'
UNION SELECT 'S640D14277004'
UNION SELECT 'S646D158049311'
UNION SELECT 'S646D158049791'
UNION SELECT 'S646D158049797'
UNION SELECT 'S646D158049806'
UNION SELECT 'S646D158049781'
UNION SELECT 'S646D158049557'
UNION SELECT 'S646D158049064'
UNION SELECT 'S646D158049561'
UNION SELECT 'S646D158049794'
UNION SELECT 'S646D158049362'
UNION SELECT 'S646D158049361'
UNION SELECT 'S646D158049792'
UNION SELECT 'S646D158049808'
UNION SELECT 'S646D158049788'
UNION SELECT 'S646D158049365'
UNION SELECT 'S646D158049800'
UNION SELECT 'S646D158049790'
UNION SELECT 'S646D158049799'
UNION SELECT 'S646D158049803'
UNION SELECT 'S646D158049784'
UNION SELECT 'S646D158049522'
UNION SELECT 'S646D158049340'
UNION SELECT 'S646D158049796'
UNION SELECT 'S646D158049687'
UNION SELECT 'S646D158049491'
UNION SELECT 'S646D158049499'
UNION SELECT 'S646D158049484'
UNION SELECT 'S646D158049486'
UNION SELECT 'S646D158049494') numbers_to_look
WHERE Shipment NOT IN
(SELECT [shipment] FROM acknowledgement WHERE shipment>'' )
Better way to do this is create a temp table to store the numbers you want to check.
I'm building a query to show average and variance from many columns.
To get the average I use this:
SELECT *,
(SELECT AVG(t.c)
FROM (
SELECT peca_1 UNION ALL
SELECT peca_2 UNION ALL
SELECT peca_3 UNION ALL
SELECT peca_4 UNION ALL
SELECT peca_5 UNION ALL
SELECT peca_6 UNION ALL
SELECT peca_7 UNION ALL
SELECT peca_8 UNION ALL
SELECT peca_9 UNION ALL
SELECT peca_10
) t(c)
) as [media]
from Durabilidade
where cd_durabilidade = 1
The result is:
Now I need a new column with VAR(media) comparing each row with first row.
Any idea?
I think this is a case where cross apply is appropriate. I am assuming that you want the variance of the values as calculated by the var() function:
SELECT *, t.avgval as [media], t.varval
from Durabilidade d cross apply
(select avg(t.val) as avgval, var(t.val) as varval
from (select d.peca_1 union all
select d.peca_2 union all
select d.peca_3 union all
select d.peca_4 union all
select d.peca_5 union all
select d.peca_6 union all
select d.peca_7 union all
select d.peca_8 union all
select d.peca_9 union all
select d.peca_10
) t(val) -- t(val) to work
) t
where cd_durabilidade = 1
Something like this?
SELECT *,
VAR(media) AS [variance]
FROM
(
SELECT *,
(SELECT AVG(t.c)
FROM (
SELECT peca_1 UNION ALL
SELECT peca_2 UNION ALL
SELECT peca_3 UNION ALL
SELECT peca_4 UNION ALL
SELECT peca_5 UNION ALL
SELECT peca_6 UNION ALL
SELECT peca_7 UNION ALL
SELECT peca_8 UNION ALL
SELECT peca_9 UNION ALL
SELECT peca_10
) t(c)
) as [media]
from Durabilidade
where cd_durabilidade = 1
) x
GROUP BY
column1_from_durabilidade
,column2_from_durabilidade
--etc
,media
Ok, I have this field: code varchar(255). It contains some values used in our export routine like
DB84
DB34
3567
3568
I need to select only auto-generated (fully numeric) fields
WHERE is_numeric(table.code)
is_numeric() checks if code field contains only positive digits.
Can you propose anything that will work both under mysql 5.1 and oracle 10g?
Below are three separate implementations for each of SQL Server, MySQL and Oracle. None use (or can) the same approach, so there doesn't seem to be a cross DBMS way to do it.
For MySQL and Oracle, only the simple integer test is show; for SQL Server, the full numeric test is shown.
For SQL Server:
note that isnumeric('.') returns 1.. but it can not actually be converted to float. Some text like '1e6' cannot be converted to numeric directly, but you can pass through float, then numeric.
;with tmp(x) as (
select 'db01' union all select '1' union all select '1e2' union all
select '1234' union all select '' union all select null union all
select '1.2e4' union all select '1.e10' union all select '0' union all
select '1.2e+4' union all select '1.e-10' union all select '1e--5' union all
select '.' union all select '.123' union all select '1.1.23' union all
select '-.123' union all select '-1.123' union all select '--1' union all
select '---1.1' union all select '+1.123' union all select '++3' union all
select '-+1.123' union all select '1 1' union all select '1e1.3' union all
select '1.234' union all select 'e4' union all select '+.123' union all
select '1-' union all select '-3e-4' union all select '+3e-4' union all
select '+3e+4' union all select '-3.2e+4' union all select '1e1e1' union all
select '-1e-1-1')
select x, isnumeric(x),
case when x not like '%[^0-9]%' and x >'' then convert(int, x) end as SimpleInt,
case
when x is null or x = '' then null -- blanks
when x like '%[^0-9e.+-]%' then null -- non valid char found
when x like 'e%' or x like '%e%[e.]%' then null -- e cannot be first, and cannot be followed by e/.
when x like '%e%_%[+-]%' then null -- nothing must come between e and +/-
when x='.' or x like '%.%.%' then null -- no more than one decimal, and not the decimal alone
when x like '%[^e][+-]%' then null -- no more than one of either +/-, and it must be at the start
when x like '%[+-]%[+-]%' and not x like '%[+-]%e[+-]%' then null
else convert(float,x)
end
from tmp order by 2, 3
For MySQL
create table tmp(x varchar(100));
insert into tmp
select 'db01' union all select '1' union all select '1e2' union all
select '1234' union all select '' union all select null union all
select '1.2e4' union all select '1.e10' union all select '0' union all
select '1.2e+4' union all select '1.e-10' union all select '1e--5' union all
select '.' union all select '.123' union all select '1.1.23' union all
select '-.123' union all select '-1.123' union all select '--1' union all
select '---1.1' union all select '+1.123' union all select '++3' union all
select '-+1.123' union all select '1 1' union all select '1e1.3' union all
select '1.234' union all select 'e4' union all select '+.123' union all
select '1-' union all select '-3e-4' union all select '+3e-4' union all
select '+3e+4' union all select '-3.2e+4' union all select '1e1e1' union all
select '-1e-1-1';
select x,
case when x not regexp('[^0-9]') then x*1 end as SimpleInt
from tmp order by 2
For Oracle
case when REGEXP_LIKE(col, '[^0-9]') then col*1 end